Update handler.py

handler.py

@@ -24,9 +24,9 @@ class EndpointHandler():
         image = Image.open(BytesIO(base64.b64decode(inputs['image'])))
 
         # run prediction one image wit provided candiates
-        inputs = processor(image, text=inputs["candidates"], return_tensors="pt")
-        outputs = model(**inputs)
-        results = processor.post_process_grounded_object_detection(
+        inputs = self.processor(image, text=inputs["candidates"], return_tensors="pt")
+        outputs = self.model(**inputs)
+        results = self.processor.post_process_grounded_object_detection(
             outputs,
             classes=classes,
             target_sizes=[image.size[::-1]],